VDB
KO
HIGH 7.8

GHSA-2cp2-2r3c-7p7r

Hydra: hydra.utils.instantiate with untrusted config can lead to code execution

Quick fix

GHSA-2cp2-2r3c-7p7r — hydra-core: upgrade to the fixed version with the command below.

pip install --upgrade 'hydra-core>=1.3.4'

Details

## Summary

`hydra.utils.instantiate()` resolves and calls Python objects from config. If an application passes untrusted config to `instantiate()`, an attacker who controls `_target_` and its arguments can cause arbitrary code execution in the consuming process.

Hydra is not a network service. Exploitation requires a consuming application, library, or user workflow to load attacker-controlled config, CLI overrides, or model metadata and pass it to `hydra.utils.instantiate()`.

## Details

Hydra's instantiate API is designed to construct objects and call functions from configuration. For example:

```yaml component: _target_: package.module.Class arg: value ```

When this config is passed to `hydra.utils.instantiate()`, Hydra resolves `_target_` and calls it with the provided arguments.

This is intended for trusted application configuration. However, if untrusted input controls `_target_`, the config becomes a callable-selection mechanism. A malicious config can select a callable capable of executing code or commands and provide attacker-controlled arguments.

This issue is the same general class of problem discussed by Unit 42 for downstream AI/ML libraries such as NVIDIA NeMo, where untrusted model metadata was passed into Hydra instantiate:

https://unit42.paloaltonetworks.com/rce-vulnerabilities-in-ai-python-libraries/

Hydra 1.3.4 includes a blacklist for some dangerous `_target_` values. That blacklist is defense-in-depth and is not a complete security boundary. The blacklist is not present in the released `hydra-core` 1.3.3 package, so this issue should not be described as a bypass of a released 1.3.3 blacklist.

## Impact

A successful attack can execute code in the process that calls `hydra.utils.instantiate()`. The impact is limited to the privileges and environment of that process.

Potential impact includes:

- Reading files, credentials, environment variables, or data accessible to the process - Modifying files, outputs, checkpoints, or application state writable by the process - Terminating or disrupting the process

## Affected Usage

Applications and libraries are affected when they pass untrusted or semi-trusted config, model metadata, CLI overrides, or other externally controlled data to `hydra.utils.instantiate()` without constraining which targets may be instantiated.

Trusted application-owned configuration is not affected in the same way.

## Remediation

Hydra 1.3.4 hardens the existing behavior by adding a blacklist of obvious dangerous targets. It is a substantial security improvement, and users remaining on the 1.3 release line should upgrade to 1.3.4 or a newer version.

The unreleased Hydra 1.4 development line uses an allowlist-based instantiation model that fully addresses this vulnerability class. The allowlist must come from trusted application code or another trusted channel, not from the untrusted config being instantiated.

Applications that consume untrusted or semi-trusted config should not pass it directly to `hydra.utils.instantiate()`. They should validate `_target_` values against a trusted allowlist before instantiation.

Are you affected?

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Affected packages

PyPI / hydra-core
Introduced in: 0 Fixed in: 1.3.4
Fix pip install --upgrade 'hydra-core>=1.3.4'

References